Veta-Gs: View-Dependent Deformable 3d Gaussian Splatting for Thermal Infrared Novel-View Synthesis
Year: 2025
Type: conference-paper
Abstract: Recently, 3D Gaussian Splatting (3D-GS) based on Thermal Infrared (TIR) imaging has gained attention in novel-view synthesis, showing real-time rendering. However, novel-view synthesis with thermal infrared images suffers from transmission effects, emissivity, and low resolution, leading to floaters and blur effects in rendered images. To address these problems, we introduce Veta-Gs, which leverages a view-dependent deformation field and a Thermal Feature Extractor (TFE) to precisely capture subtle thermal variations and maintain robustness. Specifically, we design view-dependent deformation field that leverages camera position and viewing direction, which capture thermal variations. Furthermore, we introduce the Thermal Feature Extractor (TFE) and MonoS-SIM loss, which consider appearance, edge, and frequency to maintain robustness. Extensive experiments on the TI-NSD benchmark show that our method achieves better performance over existing methods.
Authors: Myeongseok Nam, Wongi Park, Minsol Kim, Hyejin Hur, Soomok Lee
Institutions: Ajou University, Sejong University, Korea University
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: Ministry of Education
OpenAlex ID: W4413277961